Authors: Halgamage Malinda Siriwardana*, Graduate School of Life and Environmental Science, Division of Spatial Information Science, University of Tsukuba, Japan., Yuji Murayama, Graduate School of Life and Environmental Science, Division of Spatial Information Science, University of Tsukuba, Japan.
Topics: Applied Geography, Geographic Information Science and Systems, Spatial Analysis & Modeling
Keywords: Spatial data, big-data, Data dissemination
Session Type: Paper
Start / End Time: 4:40 PM / 6:20 PM
Room: Grand Ballroom A, Astor, 2nd Floor
Presentation File: No File Uploaded
The world is moving towards location-based activates. Moreover, in the big data era, a huge amount of spatial data is available. Especially, some remote sensing data are available for free. Use of big data or remote sensing data is not limited to spatial scientists or geographers, but useful in any field. Spatial data can extend the dimensions of problem identification, visualization, and problem-solving in any field greatly.
We describe two cases of use of remote sensing data from the Landsat program by the United States Geological Survey. In the case one, Sripada Mountain is the study area to describe the use of spatial data. Sripada Mountain is a highly ecologically sensitive area in the “The Central Highlands of Sri Lanka” nominated as a world heritage site. Sripada Mountain has a long driven tradition of climbing the mountain for mainly religious purposes and site-seeing.
In the second case, we discuss the “Mega City Project” which describes the urbanization in two time periods. In this, we mainly focus on the urbanization process of mega-cities. The dataset has many types of data which are useful in any other field.
We also discuss the software and tools “ArcGIS” and “Matlab” and its use in data handling processing and visualizing results.